The quick version

A haircare brand sold its hero product through a buy-more-save-more ladder, where stacking more units earned a bigger discount. They tested a simpler two-tier offer instead, and sweetened it with free add-ons rather than extra units. Profit per order fell 5%, but profit per visitor rose 19%, because 24% more visitors bought.

The setup

Buy-more-save-more is the default bundle structure for a consumable. It rewards shoppers for committing to more units and moves inventory.

Shoppers were taking the bundles, but the brand had never tested why. If the draw was the extra units, the ladder was doing its job. If the draw was more perceived value, a free gift might deliver it more cheaply.

What they tested

Control: The existing buy-more-save-more ladder, where more units bought a deeper discount.

Variant: A two-tier offer with free add-ons, a conditioner, a surprise gift, and free shipping, in place of the extra unit

The variant ran on its own product page rather than as a change to the existing one, so several things moved together: the tier count, the conditioner, the surprise gift, and the free shipping.

The results

Over about 14 days, roughly 35,000 visitors and 2,100 orders, split evenly between the two groups.

• Gross profit / visitor: +19%

• Revenue / visitor: +22%

• Conversion rate: +24%

• Units / order: +54%

The variant was considerably more generous. The share of orders shipping free went from about 45% to about 78%, and orders carried 54% more units, though each unit was worth about a third less.

The takeaway

Judged one order at a time, this test lost. Average order value was flat, profit per order fell 5%, and discount per order rose 63%. Nothing about a single sale got better.

But that’s only half of what happened. Conversion rose 24%, so the store was earning slightly less on considerably more sales. Profit per visitor rose 19%.

Those are two halves of the same number. Profit per order counts only the people who bought. Profit per visitor counts everyone who visited the site and saw the offer. Multiply profit per order by conversion rate, and you get profit per visitor: a deal worth 5% less, struck 24% more often, comes out 19% ahead.

Why it worked

• The offer changed shape, not depth. This brand swapped a volume ladder for a two-tier offer with gifts instead of adjusting how deep the ladder went, and moved profit per visitor up 19%.

• Profit per visitor decided it. Average order value and profit per order both said this offer lost. Either one, watched on its own, would have switched off a winner.

• Changing several things at once gave a fast, decisive read. Fourteen days and 2,100 orders settled whether a better offer existed. Changing one at a time tells you exactly which adjustment did the work, but takes longer to get an answer.

Intelligems lets you A/B test bundles, offers, and free gifts on your Shopify store, with COGS built in so you see the profit impact, not just revenue, without any coding.